STRASMORE/EXPLORE 2,767 QUERIES

session_share_by_ticker

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-29, from us-stock-market-hours-uae-time.

as of ranking 5×4read in context →
session_share_by_ticker — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerpremarket_share_pctregular_share_pctafter_hours_share_pct
NVDA4.3289.795.9
MSFT2.7491.725.54
SPY2.5682.7614.68
AAPL1.9793.474.56
KO0.7892.36.92
Rows × columns
5 × 4
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for session_share_by_ticker, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
premarket_share_pct number 0.78 to 4.32 percent
regular_share_pct number 82.76 to 93.47 percent
after_hours_share_pct number 4.56 to 14.68 percent

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

WITH bars AS
(
    SELECT
        ticker,
        toTimeZone(window_start, 'America/New_York') AS et_ts,
        toHour(et_ts) * 60 + toMinute(et_ts)         AS et_minute,
        toFloat64(volume)                            AS share_volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO')
      AND window_start >= toDateTime('2026-09-01 04:00:00', 'UTC')
      AND window_start <  toDateTime('2026-09-26 04:00:00', 'UTC')
)
SELECT
    ticker,
    round(100 * sumIf(share_volume, et_minute < 570) / sum(share_volume), 2)                    AS premarket_share_pct,
    round(100 * sumIf(share_volume, et_minute >= 570 AND et_minute < 960) / sum(share_volume), 2) AS regular_share_pct,
    round(100 * sumIf(share_volume, et_minute >= 960) / sum(share_volume), 2)                   AS after_hours_share_pct
FROM bars
WHERE et_minute >= 240 AND et_minute < 1200
GROUP BY ticker
ORDER BY premarket_share_pct DESC
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisus-stock-market-hours-uae-time
liquidity_by_hour ranking 16×4 → us_closures_gst series 12×6 → gst_session_clock table 10×7 → Top 25 weekly-options underlyings by distinct contracts traded, with expiration weekdays ranking 25×4 → Annualized volatility vs total return, 25 large caps, calmest to wildest (~2 years) ranking 25×3 → SPY options median spread by expiration date, near-the-money strikes only ranking 25×4 → See all 2,767 queries →